Triple
T21424179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Educator 64 |
E528508
|
entity |
| Predicate | intendedCurriculumUse |
P27185
|
FINISHED |
| Object | computer literacy courses |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: computer literacy courses | Statement: [Educator 64, intendedCurriculumUse, computer literacy courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedCurriculumUse Context triple: [Educator 64, intendedCurriculumUse, computer literacy courses]
-
A.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
curriculumAlignment
Indicates that one educational element (such as a course, lesson, or resource) is matched or mapped in content and objectives to a specified curriculum or standard.
-
D.
hasEducationalUse
chosen
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
courseUse
Indicates that a course employs, incorporates, or makes use of a particular resource, tool, or material in its instruction or structure.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813b798c8190a379cbf6cc6e14d2 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:48 p.m.